AI & Technology Specialist, II

Job Purpose

Reporting to the BT Lead for LCM, FM and Quality & Labs, you are the go‑to person for bringing AI and data capabilities into daily business life  listen to what colleagues need, you find the right digital tools and AI solutions to address those needs, and you make sure those solutions land well — adopted, used, and trusted. You combine a hands‑on, action‑oriented mindset with the structured thinking needed to deliver in a regulated manufacturing environment.

You are eager to learn, quick to experiment, and excited to show the business what is possible when you put smart technology in the right hands.

• Understand the Business & Unlock AI Opportunities — You talk to colleagues across teams to understand where they are losing time, struggling with data, or making decisions without enough information. You translate those conversations into clear problem statements and AI opportunity maps that point the way to solutions. Documented AI opportunity assessments, validated requirement overviews, and stakeholder input summaries help the team prioritize where intelligent solutions will have the most impact.
• Turn Data into Decisions — You gather, clean, and prepare data from approved sources, run analyses, build dashboards and automated reports, and prototype AI‑assisted insights — turning raw information into intelligence the business can act on with confidence. Reproducible datasets, analysis summaries, Power BI dashboards, and AI‑assisted query outputs support evidence‑based decision‑making across operational and quality teams.
• Deploy & Embed AI Platforms — You are the hands‑on champion for our AI and Data & Analytics platforms. You help onboard users, support configuration, document adoption feedback, and make sure every deployment stays aligned with site standards, security requirements, and business goals. Access and support tickets, configuration notes, adoption feedback reports, and enablement actions accelerate how quickly colleagues start benefiting from new AI capabilities.
• Map Processes, Spot Automation Potential — You map current workflows, identify friction points, and document how AI could change the way work gets done. Your process maps and analysis become the blueprint for automation and AI implementation projects. Up‑to‑date process maps, workflow narratives, and AI‑readiness assessments inform fit‑gap discussions, change impact reviews, and future solution design.
• Drive Projects Forward — You keep projects moving by tracking actions and issues, preparing status updates, coordinating test activities, and following up with stakeholders — ensuring that AI initiatives stay on track and deliver what they promised. Maintained action and issue logs, test coordination materials, and structured status inputs improve transparency and keep AI delivery on schedule.
• Build AI Confidence Across the Business — You create practical, user‑friendly guides and training materials that help colleagues actually use new AI tools confidently. You facilitate training sessions, gather feedback, and keep learning content current so adoption sticks long after go‑live. Quick‑start guides, updated FAQs, training artifacts, and feedback summaries reduce the learning curve for AI tools and build lasting digital confidence across teams.

• HBO or WO degree (completed or final year) in Information Technology, Business IT, Data Science, Artificial Intelligence, Industrial Engineering, or a related field.
• 0–2 years of relevant experience (internships count).
• Hands‑on experience with Power BI, SQL, Python, or cloud/AI platforms is a significant advantage.
• Exposure to manufacturing or GxP‑regulated environments is a plus.
• Strong analytical and creative problem‑solving abilities.
• Structured and accurate way of working.
• Clear communicator in both Dutch and English.
• Fast learner with a collaborative, can‑do mindset.
• Genuine curiosity about AI and how it changes the way we work.

• Experiments with generative AI tools (Claude, Copilot, or similar).
• Built something with Python or a no‑code AI tool.
• Project — academic or personal — that shows you love turning data into insight.

As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.